7 citations · 24 across the 31 of their papers we have counts for
7 papers · 1 filter
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
Andreea Iana, Goran Glavaš, Heiko Paulheim
Encoder architectures play a pivotal role in neural news recommenders by embedding the semantic and contextual information of news and users. Thus, research has heavily focused on…
ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection
Janek Herrlein, Chia-Chien Hung, Goran Glavaš
Research on token-level reference-free hallucination detection has predominantly focused on English, primarily due to the scarcity of robust datasets in other languages. This has h…
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
Adrian Rebmann, Fabian David Schmidt, Goran Glavaš +1
The process mining community has recently recognized the potential of large language models (LLMs) for tackling various process mining tasks. Initial studies report the capability…
Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment
Yongxin Huang, Kexin Wang, Goran Glavaš +1
Multilingual sentence encoders (MSEs) are commonly obtained by training multilingual language models to map sentences from different languages into a shared semantic space. As such…
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages
Fabian David Schmidt, Philipp Borchert, Ivan Vulić +1
LLMs have become a go-to solution not just for text generation, but also for natural language understanding (NLU) tasks. Acquiring extensive knowledge through language modeling on…
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
Andreea Iana, Fabian David Schmidt, Goran Glavaš +1
Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations. First, existing ne…
MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim
Digital news platforms use news recommenders as the main instrument to cater to the individual information needs of readers. Despite an increasingly language-diverse online communi…